snap-speaker-nulling-deepfake-detection

【效率与协作】Detect speech deepfakes by decomposing features into speaker, artifact, and context subspaces—nulling speaker information via PCA projection to isolate artifact patterns. Train minimal logistic regression classifier on orthogonally-projected representations, achieving 56% error reduction while maintaining cross-speaker and cross-TTS generalization.

独立 GitHub 快照 · 自动分类 · 以原作者文档为准